Business Analytics, Graduate Certificate
Graduate Certificate in Business Analytics
University of Nebraska - Lincoln
Overview
Admissions and Requirements
Courses You’ll Take
Tuition & Fees
Program Overview
The online graduate certificate in Business Analytics enables students to solve a wide range of problems with a wide range of data and statistical techniques.
This online certificate is ideal for business professionals who want to make better business decisions based on an understanding of the data available to them.
Students of the Business Analytics, Graduate Certificate gain skills to:
- Solve specific business problems by analyzing big data.
- Understand the vast amounts of data on business programs, customers, employees and outcomes.
- Collect, maintain and analyze data in support of business decisions.
- Utilize cutting-edge technology in today's business environment
Students may earn a graduate certificate as a stand-alone credential or may complete the four courses as electives in the online MBA program. Credits earned in the certificate may be applied toward the MBA program.
Career Outlook: A business analytics degree has broad appeal for employers and is designed to build on any background. The United States Bureau of Labor Statistics reports in the next decade, the demand for business and financial operations occupations is projected to grow at a rate of 7%, which is faster than average.
This program is ideal for professionals wishing to work in:
- Data management
- Analytical management
- Supply chain management
- Finance
- Accounting
- Marketing
- Economics
- Other business-related fields
Admissions and Requirements
To be accepted to this program, you must have:
A Bachelor's degree
Degree must be from an accredited 4-year college
Completed coursework
You must have completed an introductory statistics course with a grade of C or better. If you have not completed this course prior, you may take ECON 215 or STAT 218 to fulfill this requirement.
NOTE: This program is authorized, exempt, or not subject to state regulatory compliance and may enroll students from all 50 states
To apply to this program:
- Complete the online application
- Pay the non-refundable $50 application processing fee
Courses You’ll Take
Core Courses
| Course Number | Course Name | Credits |
|---|---|---|
| ECON 817 | Introduction to Econometrics | 3 |
Designed to give undergraduate and master's level economics students and introduction to basic econometrics methods including economic model estimation and analyses of economic data. Hypothesis formulation and testing, economic prediction and problems in analyzing economic cross-section and time series data are considered. | ||
Other Courses
| Course Number | Course Name | Credits |
|---|---|---|
| MNGT 853 | Data Mining Applications | 3 |
Data mining applies quantitative analysis to support humans in identifying actionable information from large amounts of data. Actionable means that value can be obtained, which for businesses usually relates to making money. This course will focus on how data mining has been successfully applied in business. It will also describe in non-technical terms how the statistical and artificial intelligence-based tools commonly used in data mining work. The course will also address ethical issues related to the use of information obtained through data mining. | ||
| GRBA 851 | Business Analytics | 3 |
Broad understanding and knowledge of important business analytic topics and how they can be used to support decision making in all business areas, government, education, and agriculture. Technical procedures used to describe, predict and prescribe data into information for decision making. Data exploration and how it results in a sequence of descriptive, predictive and prescriptive processes to result in unique and new information on which decisions can be made. Prerequisites for course: Admission to the MBA or MPA program and/or permission of the MBA director | ||
| MRKT 850 | Strategic Database Marketing | 3 |
Theory and strategic use of large marketing databases. Advances in theory and practice. Concepts of customer relationship management, integration with electronic commerce systems, analytical techniques, and ethics and practices of customer privacy. | ||
Tuition & Fees
Nebraska Residents
Per Credit Hour
- Tuition
- $650.00
- Fees
- $0.00
- Total
- $650.00
3 Credit Hours
- Tuition
- $1950.00
- Fees
- $0.00
- Total
- $1950.00
Out of State Residents
Per Credit Hour
- Tuition
- $650.00
- Fees
- $0.00
- Total
- $650.00
3 Credit Hours
- Tuition
- $1950.00
- Fees
- $0.00
- Total
- $1950.00
Jennifer K. Ryan, Ph.D.
Ron and Carol Cope Professor of Supply Chain Management and Analytics
Dr. Ryan served as a faculty member in the Department of Industrial and Systems Engineering at Rensselaer Polytechnic Institute, the School of Business at University College Dublin (Ireland), the Mendoza College of Business at the University of Notre Dame and in the School of Industrial Engineering at Purdue University. Her research has been published in Management Science, Operations Research, Production and Operations Management, Naval Research Logistics, Decision Sciences and IIE Transactions. Dr. Ryan has received several National Science Foundation (NSF) grants, including an NSF CAREER grant. She currently serves as a Department Editor for IIE Transactions and as an Associate Editor for Naval Research Logistics and OMEGA.
Application Deadlines
Rolling admissions. Application review will begin upon receipt of all required application materials.